This session introduced you to the world of data visualisation. Throughout this session, you performed visualisations using Matplotlib. Now, let’s summarise all that you learnt in this session.

You started this session by understanding the importance of visualisation in interpreting data. Then you learnt about the different types of graphs and charts, namely:

  • Bar chart
  • Scatter plot
  • Line graph
  • Histogram
  • Box plot

Further, you learnt about the elements that help display additional information about a plot. Also, you learnt how to fit several subplots inside a single plot object, which is useful for comparing different properties or elements of your data.

Additional References:

You can refer to the links provided below to learn more about visualisation:

  • You can go to this link from Gramener to know how data visualisation can help you derive insights about the winning political parties in India.
  • You can view this link from SocialCops to see a creative visualisation on the ageing world population.
  • You can refer to this link to learn how to choose a graph plot for your data.
  • You can refer to this link  to find additional video tutorials by Corey Shaffer on Matplotlib.
  • You can refer to this link to find official Matplotlib Documentation.
  • You can learn more about choosing the right plot type by referring to this link
  • You can refer to this link to find out additional information about plotting real-time data. 

In the next session, you will go through a case study which will make use of the tools you learnt in this session. 

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